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Mathematical Problems in Engineering
Volume 2013, Article ID 719756, 8 pages
Research Article

Classification of ETM+ Remote Sensing Image Based on Hybrid Algorithm of Genetic Algorithm and Back Propagation Neural Network

1Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, 510640 Guangzhou, China
2University of Chinese Academy of Sciences, 100049 Beijing, China

Received 10 April 2013; Revised 26 May 2013; Accepted 26 May 2013

Academic Editor: Erik Cuevas

Copyright © 2013 Haisheng Song et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [4 citations]

The following is the list of published articles that have cited the current article.

  • Hyo Seon Park, Eunmi Kwon, Yousok Kim, and Se Woon Choi, “Resizing Technique-Based Hybrid Genetic Algorithm for Optimal Drift Design of Multistory Steel Frame Buildings,” Mathematical Problems in Engineering, vol. 2014, pp. 1–11, 2014. View at Publisher · View at Google Scholar
  • Jun Wang, Jingwei Song, Mingquan Chen, and Zhi Yang, “Road network extraction: a neural-dynamic framework based on deep learning and a finite state machine,” International Journal of Remote Sensing, vol. 36, no. 12, pp. 3144–3169, 2015. View at Publisher · View at Google Scholar
  • Jianfang Cao, Lichao Chen, Min Wang, Hao Shi, and Yun Tian, “A Parallel Adaboost-Backpropagation Neural Network for Massive Image Dataset Classification,” Scientific Reports, vol. 6, 2016. View at Publisher · View at Google Scholar
  • N Arif, P Danoedoro, and Hartono, “Analysis of Artificial Neural Network in Erosion Modeling: A Case Study of Serang Watershed,” IOP Conference Series: Earth and Environmental Science, vol. 98, pp. 012027, 2017. View at Publisher · View at Google Scholar